Some experiments on subjective optimisation
by Marvin D. Troutt, Kholekile L. Gwebu, Jing Wang, Alan A. Brandyberry
International Journal of Operational Research (IJOR), Vol. 12, No. 1, 2011

Abstract: The assumption that experts can make approximately optimal subjective and unaided decisions underlies some parameter estimation methods and decision support approaches. We developed experimental testing software and evaluated the performance of student subjects in this kind of decision making for an operational business planning problem having three decision variables and two performance criteria. We computed a measure of error between an observed trial and an optimal one called decisional regret. Some theory-based assumptions about such measures are that they have either a gamma or Weibull distribution with a certain bound on the shape parameter, and also exhibit learning in repeated trials. We found strong support for the distributional assumption and learning properties, with weaker support for the shape parameter assumption. Overall, our results are supportive of the basic assumption.

Online publication date: Mon, 08-Aug-2011

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Operational Research (IJOR):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email